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nditerMatrixEntries,"var x = array( [ [ [ 1, 2 ], [ 3, 4 ] ] ] );\nvar it = nditerMatrixEntries( x );\nvar v = it.next().value;\nv[ 0 ]\nndarray2array( v[ 1 ] )\n"
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nditerRowEntries,"var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );\nvar it = nditerRowEntries( x );\nvar v = it.next().value;\nv[ 0 ]\nndarray2array( v[ 1 ] )\nv = it.next().value;\nv[ 0 ]\nndarray2array( v[ 1 ] )\n"
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nditerRows,"var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );\nvar it = nditerRows( x );\nvar v = it.next().value;\nndarray2array( v )\nv = it.next().value;\nndarray2array( v )\n"
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nditerSelectDimension,"var x = array( [ [ [ 1, 2 ], [ 3, 4 ] ] ] );\nvar it = nditerSelectDimension( x, 0 );\nvar v = it.next().value;\nndarray2array( v )\n"
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nditerValues,"var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );\nvar it = nditerValues( x );\nvar v = it.next().value\nv = it.next().value\n"
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ndslice,"var x = array( [ [ 1, 2 ], [ 3, 4 ] ] )\nx.shape\nvar s = new MultiSlice( null, 1 )\nvar y = ndslice( x, s )\ny.shape\nndarray2array( y )\n"
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ndsliceAssign,"var y = ndzeros( [ 2, 2 ] )\nvar x = scalar2ndarray( 3.0 )\nvar s = new MultiSlice( null, 1 )\nvar out = ndsliceAssign( x, y, s )\nvar bool = ( out === y )\nndarray2array( y )\n"
nditerRowEntries,"\nnditerRowEntries( x[, options] )\n Returns an iterator which returns [index, row] pairs for each row in a\n matrix (or stack of matrices).\n\n Each returned index is a Cartesian index (i.e., an array of subscripts/\n dimension indices). A dimension index equal to `null` indicates that all\n values along the respective dimension are included in the returned ndarray.\n\n If an environment supports Symbol.iterator, the returned iterator is\n iterable.\n\n If an environment supports Symbol.iterator, the function explicitly does not\n invoke an ndarray's `@@iterator` method, regardless of whether this method\n is defined.\n\n Parameters\n ----------\n x: ndarray\n Input array.\n\n options: Object (optional)\n Options.\n\n options.readonly: boolean (optional)\n Boolean indicating whether returned ndarray views should be read-only.\n If the input ndarray is read-only, setting this option to `false` raises\n an exception. Default: true.\n\n Returns\n -------\n iterator: Object\n Iterator.\n\n iterator.next(): Function\n Returns an iterator protocol-compliant object containing the next\n iterated value (if one exists) and a boolean flag indicating whether the\n iterator is finished.\n\n iterator.return( [value] ): Function\n Finishes an iterator and returns a provided value.\n\n Examples\n --------\n > var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );\n > var it = nditerRowEntries( x );\n > var v = it.next().value;\n > v[ 0 ]\n [ 0, null ]\n > ndarray2array( v[ 1 ] )\n [ 1, 2 ]\n > v = it.next().value;\n > v[ 0 ]\n [ 1, null ]\n > ndarray2array( v[ 1 ] )\n [ 3, 4 ]\n\n See Also\n --------\n nditerColumnEntries, nditerEntries, nditerRows, ndslice\n"
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nditerRows,"\nnditerRows( x[, options] )\n Returns an iterator which iterates over each row in a matrix (or stack of\n matrices).\n\n If an environment supports Symbol.iterator, the returned iterator is\n iterable.\n\n If an environment supports Symbol.iterator, the function explicitly does not\n invoke an ndarray's `@@iterator` method, regardless of whether this method\n is defined.\n\n Parameters\n ----------\n x: ndarray\n Input ndarray for which to create the iterator.\n\n options: Object (optional)\n Options.\n\n options.readonly: boolean (optional)\n Boolean indicating whether returned ndarray views should be read-only.\n If the input ndarray is read-only, setting this option to `false` raises\n an exception. Default: true.\n\n Returns\n -------\n iterator: Object\n Iterator.\n\n iterator.next(): Function\n Returns an iterator protocol-compliant object containing the next\n iterated value (if one exists) and a boolean flag indicating whether the\n iterator is finished.\n\n iterator.return( [value] ): Function\n Finishes an iterator and returns a provided value.\n\n Examples\n --------\n > var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );\n > var it = nditerRows( x );\n > var v = it.next().value;\n > ndarray2array( v )\n [ 1, 2 ]\n > v = it.next().value;\n > ndarray2array( v )\n [ 3, 4 ]\n\n See Also\n --------\n nditerColumns, nditerRowEntries, ndslice\n"
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nditerSelectDimension,"\nnditerSelectDimension( x, dim[, options] )\n Returns an iterator which iterates over each view along a specified\n dimension.\n\n If an environment supports Symbol.iterator, the returned iterator is\n iterable.\n\n If an environment supports Symbol.iterator, the function explicitly does not\n invoke an ndarray's `@@iterator` method, regardless of whether this method\n is defined.\n\n Parameters\n ----------\n x: ndarray\n Input ndarray for which to create the iterator.\n\n dim: integer\n Dimension index. If less than zero, the index is resolved relative to\n the last dimension, with the last dimension corresponding to the value\n `-1`.\n\n options: Object (optional)\n Options.\n\n options.readonly: boolean (optional)\n Boolean indicating whether returned ndarray views should be read-only.\n If the input ndarray is read-only, setting this option to `false` raises\n an exception. Default: true.\n\n options.keepdim: boolean (optional)\n Boolean indicating whether returned views should include the selected\n dimension as a singleton dimension. Including the selected dimension as\n a singleton dimension can be useful when wanting to ensure that returned\n views remain broadcast compatible with the input ndarray. Default:\n false.\n\n Returns\n -------\n iterator: Object\n Iterator.\n\n iterator.next(): Function\n Returns an iterator protocol-compliant object containing the next\n iterated value (if one exists) and a boolean flag indicating whether the\n iterator is finished.\n\n iterator.return( [value] ): Function\n Finishes an iterator and returns a provided value.\n\n Examples\n --------\n > var x = array( [ [ [ 1, 2 ], [ 3, 4 ] ] ] );\n > var it = nditerSelectDimension( x, 0 );\n > var v = it.next().value;\n > ndarray2array( v )\n [ [ 1, 2 ], [ 3, 4 ] ]\n\n See Also\n --------\n nditerColumns, nditerMatrices, nditerRows, ndslice\n"
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nditerSubarrays,"\nnditerSubarrays( x, ndims[, options] )\n Returns an iterator which iterates over each subarray in a stack of\n subarrays.\n\n If an environment supports Symbol.iterator, the returned iterator is\n iterable.\n\n If an environment supports Symbol.iterator, the function explicitly does not\n invoke an ndarray's `@@iterator` method, regardless of whether this method\n is defined.\n\n Parameters\n ----------\n x: ndarray\n Input ndarray for which to create the iterator. Must have at least\n `ndims+1` dimensions.\n\n ndims: integer\n Number of dimensions to stack.\n\n options: Object (optional)\n Options.\n\n options.readonly: boolean (optional)\n Boolean indicating whether returned ndarray views should be read-only.\n If the input ndarray is read-only, setting this option to `false` raises\n an exception. Default: true.\n\n Returns\n -------\n iterator: Object\n Iterator.\n\n iterator.next(): Function\n Returns an iterator protocol-compliant object containing the next\n iterated value (if one exists) and a boolean flag indicating whether the\n iterator is finished.\n\n iterator.return( [value] ): Function\n Finishes an iterator and returns a provided value.\n\n Examples\n --------\n > var x = array( [ [ [ 1, 2 ], [ 3, 4 ] ] ] );\n > var it = nditerSubarrays( x, 2 );\n > var v = it.next().value;\n > ndarray2array( v )\n [ [ 1, 2 ], [ 3, 4 ] ]\n\n See Also\n --------\n nditerColumns, nditerMatrices, nditerRows, ndslice\n"
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nditerValues,"\nnditerValues( x[, options] )\n Returns an iterator which returns individual elements from a provided\n ndarray.\n\n If an environment supports Symbol.iterator, the returned iterator is\n iterable.\n\n If an environment supports Symbol.iterator, the function explicitly does not\n invoke an ndarray's `@@iterator` method, regardless of whether this method\n is defined.\n\n Parameters\n ----------\n x: ndarray\n Input array.\n\n options: Object (optional)\n Options.\n\n options.order: string (optional)\n Index iteration order. By default, the returned iterator returns values\n according to the layout order of the provided array. Accordingly, for\n row-major input arrays, the last dimension indices increment fastest.\n For column-major input arrays, the first dimension indices increment\n fastest. To override the inferred order and ensure that indices\n increment in a specific manor, regardless of the input array's layout\n order, explicitly set the iteration order. Note, however, that iterating\n according to an order which does not match that of the input array may,\n in some circumstances, result in performance degradation due to cache\n misses. Must be either 'row-major' or 'column-major'.\n\n Returns\n -------\n iterator: Object\n Iterator.\n\n iterator.next(): Function\n Returns an iterator protocol-compliant object containing the next\n iterated value (if one exists) and a boolean flag indicating whether the\n iterator is finished.\n\n iterator.return( [value] ): Function\n Finishes an iterator and returns a provided value.\n\n Examples\n --------\n > var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );\n > var it = nditerValues( x );\n > var v = it.next().value\n 1\n > v = it.next().value\n 2\n\n See Also\n --------\n ndarray, nditerEntries, nditerIndices\n"
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ndslice,"\nndslice( x, ...s[, options] )\n Returns a read-only view of an input ndarray.\n\n The function supports three (mutually exclusive) means of providing slice\n arguments:\n\n 1. Providing a single MultiSlice object.\n 2. Providing a single array containing slice arguments.\n 3. Providing slice arguments as separate arguments.\n\n An individual slice argument must be either a Slice, an integer, null, or\n undefined.\n\n In all cases, the number of slice dimensions must match the number of array\n dimensions.\n\n If providing a MultiSlice object or an array of slice arguments, no other\n slice arguments should be provided.\n\n Mixing function invocation styles (e.g., providing multiple MultiSlice\n objects or providing an array of slice arguments followed by additional\n slice arguments) is not supported.\n\n Parameters\n ----------\n x: ndarray\n Input array.\n\n s: ...MultiSlice|Slice|null|undefined|integer|ArrayLike\n Slice arguments.\n\n options: Object (optional)\n Options.\n\n options.strict: boolean (optional)\n Boolean indicating whether to enforce strict bounds checking.\n Default: true.\n\n Returns\n -------\n out: ndarray\n Output array view.\n\n Examples\n --------\n > var x = array( [ [ 1, 2 ], [ 3, 4 ] ] )\n <ndarray>\n > x.shape\n [ 2, 2 ]\n > var s = new MultiSlice( null, 1 )\n <MultiSlice>\n > var y = ndslice( x, s )\n <ndarray>\n > y.shape\n [ 2 ]\n > ndarray2array( y )\n [ 2, 4 ]\n\n See Also\n --------\n array, ndat, ndarray, ndsliceAssign, ndsliceDimension\n"
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ndsliceAssign,"\nndsliceAssign( x, y, ...s[, options] )\n Assigns element values from a broadcasted input ndarray to corresponding\n elements in an output ndarray view.\n\n The function supports three (mutually exclusive) means of providing slice\n arguments:\n\n 1. Providing a single MultiSlice object.\n 2. Providing a single array containing slice arguments.\n 3. Providing slice arguments as separate arguments.\n\n An individual slice argument must be either a Slice, an integer, null, or\n undefined.\n\n In all cases, the number of slice dimensions must match the number of output\n array dimensions.\n\n If providing a MultiSlice object or an array of slice arguments, no other\n slice arguments should be provided.\n\n Mixing function invocation styles (e.g., providing multiple MultiSlice\n objects or providing an array of slice arguments followed by additional\n slice arguments) is not supported.\n\n Parameters\n ----------\n x: ndarray\n Input array. The input array must be broadcast compatible with the\n output array view and must have a data type which can be safely cast to\n the output array data type. Floating-point data types (both real and\n complex) are allowed to downcast to a lower precision data type of the\n same kind (e.g., element values from a 'float64' input array can be\n assigned to corresponding elements in a 'float32' output array).\n\n y: ndarray\n Output array. The output array must be writable.\n\n s: ...MultiSlice|Slice|null|undefined|integer|ArrayLike\n Slice arguments.\n\n options: Object (optional)\n Options.\n\n options.strict: boolean (optional)\n Boolean indicating whether to enforce strict bounds checking.\n Default: true.\n\n Returns\n -------\n out: ndarray\n Output array.\n\n Examples\n --------\n > var y = ndzeros( [ 2, 2 ] )\n <ndarray>\n > var x = scalar2ndarray( 3.0 )\n <ndarray>\n > var s = new MultiSlice( null, 1 )\n <MultiSlice>\n > var out = ndsliceAssign( x, y, s )\n <ndarray>\n > var bool = ( out === y )\n true\n > ndarray2array( y )\n [ [ 0.0, 3.0 ], [ 0.0, 3.0 ] ]\n\n See Also\n --------\n array, ndarray, ndslice\n"
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@@ -4126,6 +4126,7 @@ nditerMatrices,"\nnditerMatrices( x:ndarray[, options:Object] )\n Returns an
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nditerMatrixEntries,"\nnditerMatrixEntries( x:ndarray[, options:Object] )\n Returns an iterator which returns [index, matrix] pairs for each matrix in a\n stack of matrices.\n"
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nditerRowEntries,"\nnditerRowEntries( x:ndarray[, options:Object] )\n Returns an iterator which returns [index, row] pairs for each row in a\n matrix (or stack of matrices).\n"
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nditerRows,"\nnditerRows( x:ndarray[, options:Object] )\n Returns an iterator which iterates over each row in a matrix (or stack of\n matrices).\n"
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nditerSelectDimension,"\nnditerSelectDimension( x:ndarray, dim:integer[, options:Object] )\n Returns an iterator which iterates over each view along a specified\n dimension.\n"
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nditerValues,"\nnditerValues( x:ndarray[, options:Object] )\n Returns an iterator which returns individual elements from a provided\n ndarray.\n"
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ndslice,"\nndslice( x:ndarray, ...s:MultiSlice|Slice|null|undefined|integer|ArrayLike[, \n options:Object] )\n Returns a read-only view of an input ndarray.\n"
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ndsliceAssign,"\nndsliceAssign( x:ndarray, y:ndarray, \n ...s:MultiSlice|Slice|null|undefined|integer|ArrayLike[, options:Object] )\n Assigns element values from a broadcasted input ndarray to corresponding\n elements in an output ndarray view.\n"
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